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July 14th, 2023 - Revolutionizing Machine Learning: An Exploration of Groundbreaking Advances from Gradient Descent to Generative AI
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Manage episode 371326107 series 3485608
Marcus Edel에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Marcus Edel 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
- Provably Faster Gradient Descent via Long Steps
- Faster Neural Networks Straight from JPEG
- Self-consistency for open-ended generations
- Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
- In-context Autoencoder for Context Compression in a Large Language Model
- HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
챕터
1. Intro (00:00:00)
2. Provably Faster Gradient Descent via Long Steps (00:02:31)
3. Faster Neural Networks Straight from JPEG (00:05:47)
4. Self-consistency for open-ended generations (00:08:59)
5. Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation (00:10:06)
6. In-context Autoencoder for Context Compression in a Large Language Model (00:11:47)
7. HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models (00:14:21)
75 에피소드
공유
